Payoneer

Cross-border payments & fintech platform
Last updated:
January 23, 2026
Company details
HQ
New York, NY
HEADCOUNT
1000-2999
ORG TYPE
Corporate
SECTOR
Technology & Digital
About the company
Payoneer is a fintech company that helps businesses, freelancers, and marketplaces send and receive cross-border payments. Payoneer offers multi-currency accounts, payment collection, payouts, and card products aimed at making international commerce easier. The company also positions offerings around compliance and business workflows for global operations. Payoneer is publicly listed and serves customers across many countries and territories.
Locations and presence
Payoneer lists 25+ global offices and 2,000+ employees worldwide, with a headquarters presence in New York and a major base in Israel. Job postings show a mix of in-office and office-based roles in multiple regions, including internships explicitly marked as in-office in Gurugram.
Palpable Score
64.5
/ 100
Payoneer offers real entry points through internships and some junior hiring, plus credible onboarding signals in engineering and broader employee feedback. Hiring process transparency looks mixed, with structured steps visible but uneven candidate experience and timelines. Pay transparency is inconsistent and early-career outcomes are hard to validate at scale because Payoneer does not publish cohort outcomes or progression data.
Pillar 1: Early-career access

Score

13.5
/ 20
  • The company posts internship roles across functions, including HR Operations Intern and Payroll Intern roles with defined durations and responsibilities.
  • Payoneer has advertised engineering internships and student-targeted roles in multiple locations rather than limiting early-career access to a single office.
  • The company’s public job channels show some junior-level hiring, but there is limited evidence of a high-volume global graduate pipeline.
  • Pillar 2: Hiring fairness and transparency

    Score

    12.5
    / 20
  • The company has a visible multi-step interview pattern in candidate reports, commonly involving HR screening plus skills assessments and manager interviews.
  • Payoneer receives mixed candidate feedback on speed and experience, including reports of longer processes for some roles alongside faster timelines for others.
  • The company’s public materials do not consistently provide role-by-role timelines, assessment expectations, or feedback norms, which caps transparency.
  • Pillar 3: Learning and support

    Score

    14.5
    / 20
  • The company has published engineering onboarding detail describing a junior bootcamp format with structured training and internal lectures before joining teams.
  • Payoneer is described in employee feedback as running well-organised onboarding and providing resources to help new hires ramp up, including globally distributed teams meeting in person at times.
  • The company does not show consistent, company-wide public detail on mentorship, rotation models, or early-career learning paths outside a few functions.
  • Pillar 4: Pay fairness and stability

    Score

    13.0
    / 20
  • The company includes base pay ranges in at least some job postings, which is a practical transparency signal for candidates evaluating offers.
  • Payoneer has mixed compensation sentiment in employee reviews, with some praising pay and perks while others complain about low salary, which suggests unevenness by team or geography.
  • The company does not consistently publish salary ranges across early-career roles globally, which limits candidates’ ability to benchmark fairness before interviews.
  • Pillar 5: Early-career outcomes

    Score

    11.0
    / 20
  • The company has public early-career ramp examples in engineering that describe moving from a junior bootcamp into full-time team work with ongoing manager-led development.
  • Payoneer has broadly positive overall employee willingness-to-recommend signals on major review platforms, but that data is not broken out for graduates or first-job hires.
  • The company does not publish early-career retention, promotion rates, or time-to-progression by level, which makes outcomes hard to verify beyond anecdotal stories.
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